Job ID: 2507511
Location: ARLINGTON, VA, US
Date Posted: 2025-07-14
Category: Engineering and Sciences
Subcategory: Ops Res Analyst
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
SAIC is seeking an Operations Research Analyst to support the TSA customer in Washington D.C. Come join our team of professionals that provide TSA with information to support the procurement/rollout of new screening technologies and procedures to keep our transportation system safe.
The team prefers a local candidate in the DCMV area, as onsite customer support in Arlington and Alexandria, VA is required periodically.

Job duties include but are not limited to:

• Writing detailed reports that explain data results and their associated operational impacts
• Creating test plans that adhere to DHS and TSA standards and data collection strategies based on system requirements
• Cleaning and maintaining large datasets in relational databases (MS-Access and SQL Server)
• Conducting both descriptive and inferential statistical analyses utilizing Python and/or R to identify trends and draw conclusions
• Providing thoughtful feedback to the data collection team throughout testing to enhance collection methodologies resulting in usable data
• Maintaining NETSco models of airport checkpoints

Qualifications

Required Qualifications

• Bachelor’s Degree with 5+ years of experience or Master’s Degree with 3+ years of experience
• Proven ability to prioritize and execute workload to meet requirements and deadlines
• Strong communication skills - both written and verbal
• Must be able to obtain a DHS suitability clearance
• Experience with Python and/or R
• Advanced skills in Microsoft Excel

• Experience with Java

  Preferred Qualifications

• Experience with TSA

• Experience with NetSco

• Writing detailed reports that explain data results and their associated operational impacts
• Creating test plans that adhere to DHS and TSA standards and data collection strategies based on system requirements
• Cleaning and maintaining large datasets in relational databases (MS-Access and SQL Server)
• Conducting both descriptive and inferential statistical analyses utilizing Python and/or R to identify trends and draw conclusions
• Providing thoughtful feedback to the data collection team throughout testing to enhance collection methodologies resulting in usable data
• Maintaining NETSco models of airport checkpoint